A note on mean testing for high dimensional multivariate data under non-normality
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Publication:6552743
DOI10.1111/J.1467-9574.2012.00533.XzbMATH Open1541.62134MaRDI QIDQ6552743
Martin Singull, Dietrich von Rosen, M. Rauf Ahmad
Publication date: 10 June 2024
Published in: Statistica Neerlandica (Search for Journal in Brave)
Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15)
Cites Work
- Title not available (Why is that?)
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- A new test for sphericity of the covariance matrix for high dimensional data
- Some estimators of covariance matrix in multivariate nonparametric regression and their applications
- Analysis of high-dimensional repeated measures designs: the one sample case
- Comparison of exact parametric tests for high-dimensional data
- A test for the mean vector with fewer observations than the dimension under non-normality
- Multivariate tests based on left-spherically distributed linear scores
- Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
- ANOVA for a large number of treatments
- Nonparametric methods in multivariate factorial designs for large number of factor levels
- A test for the mean vector with fewer observations than the dimension
- Multisample and multivariate nonparametric tests based on U statistics and their asymptotic efficiencies
- The estimation of residual variance in quadratically balanced least-squares problems and the robustness of the F-test
- Approximation Theorems of Mathematical Statistics
- Limit Theorems for Dependent U-statistics
- Large Sample Techniques for Statistics
- On U-statistics and v. mise? statistics for weakly dependent processes
- Asymptotic Statistics
- On moments of quadratic forms in non-spherically distributed variables
- Mathematical Statistics
- Some contributions to the analysis of multivariate data
- Tests for High-Dimensional Covariance Matrices
- Tests for High-Dimensional Regression Coefficients With Factorial Designs
- Multivariate Theory for Analyzing High Dimensional Data
- The high-dimension, low-sample-size geometric representation holds under mild conditions
- A High Dimensional Two Sample Significance Test
- A Class of Statistics with Asymptotically Normal Distribution
- Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
- Multivariate Statistics
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